This study aims to describe the lexical semantic fields of reading textbooks in Universitas Negeri Malang, specifically categories being, cosmic, energetic, substantial, terrestrial, objective, living, animate, and human. It used a descriptive qualitative method with analysis approach. The approach was selected since we intended comprehend phenomenon from lexical-semantic field aspect specific ...

Work on the Semantic Web is all too often phrased as a technological challenge: how to improve the precision of search engines, how to personalise web-sites, how to integrate weakly-structured data-sources, etc. This suggests that we will be able to realise the Semantic Web by merely applying (and at most refining) the results that are already available from many branches of Computer Science. I...

Determining the semantic intent of web queries not only involves identifying their semantic class, which is a primary focus of previous works, but also understanding their semantic structure. In this work, we formally define the semantic structure of noun phrase queries as comprised of intent heads and intent modifiers. We present methods that automatically identify these constituents as well a...

Visual exploration of flow fields is important for studying dynamic systems. We introduce semantic flow graph (SFG), a novel graph representation and interaction framework that enables users to explore the relationships among key objects (i.e., field lines, features, and spatiotemporal regions) of both steady and unsteady flow fields. The objects and their relationships are organized as a heter...

Semantic service coordination aims at the coherent and efficient discovery, composition, negotiation, and execution of semantic Web services in a given environment and application context. What makes coordination of services in the semantic Web different from its counterpart in the Web is its far more advanced degree of automation through means of logic based reasoning on heterogeneous service ...

A semantic network is a graph which represents semantic relations between concepts, used in a lot of fields as a form of knowledge representation. This paper describes an automatic approach to identify semantic relations between concepts by using statistical information extracted from the Web. We automatically constructed an associative network starting from a lexicon. Moreover we applied these...

Language ambiguities are a problem in various fields. For example, in Machine Translation themajor cause of errors is ambiguity.Moreover, ambiguous words can be confusing for Information Extraction algorithms. Our purpose in this work is to provide a new approach to solve semantic ambiguities by dealing with the problem of the fine granularity of sense inventories. Our goal is to replaceword se...

Wikis are prominent for successfully supporting the quick and simple creation, sharing and management of content on the web. Semantic wikis improve this by semantically enriched content. Currently, notable advances in different fields of semantic technology like (paraconsistent) reasoning, expressive knowledge (e.g., rules), and ontology learning can be observed. By making use of these technolo...